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Last updated:

September 25, 2023

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This course includes:

Unlimited Duration

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Description

Discrete Time Signal Processing. Instructor: Prof. Mrityunjoy Chakraborty, Department of Electronics and Electrical Communication Engineering, IIT Kharagpur.

This course covers discrete time signals and systems. The major concepts covered include: discrete-time processing of continuous-time signals; sampling rate conversion; discrete time filter design and filter structures; finite impulse response and infinite impulse response systems; linear prediction; discrete Fourier transform, FFT algorithm; parametric and nonparametric signal processing and its various applications. (from nptel.ac.in)

Course Curriculum

  • Lecture 01 – Introduction Unlimited
  • Lecture 02 – Discrete Time Signals and Systems Unlimited
  • Lecture 03 – Linear, Shift Invariant Systems Unlimited
  • Lecture 04 – Properties of Discrete Convolution, Causal and Stable Systems Unlimited
  • Lecture 05 – Graphical Evaluation of Discrete Convolutions Unlimited
  • Lecture 06 – Discrete Time Fourier Transform (DTFT) Unlimited
  • Lecture 07 – Properties of Discrete Time Fourier Transform (DTFT) Unlimited
  • Lecture 08 – Dirac Comb and Sampling Analog Signals Unlimited
  • Lecture 09 – Relation between DTFT and Analog Fourier Transform Unlimited
  • Lecture 10 – Nyquist Interpolation Formula Unlimited
  • Lecture 11 – Rational Systems Unlimited
  • Lecture 12 – Properties of Rational Systems Unlimited
  • Lecture 13 – Introduction to z-Transform Unlimited
  • Lecture 14 – Regions of Convergence of z-Transform Unlimited
  • Lecture 15 – Properties of z-Transform Unlimited
  • Lecture 16 – Inverse z-Transform Unlimited
  • Lecture 17 – Introduction to Discrete Fourier Transform (DFT) Unlimited
  • Lecture 18 – Properties of Discrete Fourier Transform (DFT) Unlimited
  • Lecture 19 – Introduction to Circular Convolution Unlimited
  • Lecture 20 – Graphical Interpretation of Circular Convolution Unlimited
  • Lecture 21 – Zero Padding and Linear Convolution via Discrete Fourier Transform (DFT) Unlimited
  • Lecture 22 – Decimation and DFT of Decimated Sequences Unlimited
  • Lecture 23 – Expansion and Interpolation of Sequences Unlimited
  • Lecture 24 – Factor-of-M Polyphase Decomposition of Sequences Unlimited
  • Lecture 25 – Noble Identifies Unlimited
  • Lecture 26 – Efficient Decimator and Interpolator Structure Unlimited
  • Lecture 27 – Linear Phase Filters Unlimited
  • Lecture 28 – Properties of Linear Phase Filters Unlimited
  • Lecture 29 – Structures for IIR Filters Unlimited
  • Lecture 30 – Structures for FIR Filters Unlimited
  • Lecture 31 – Analog LTI Systems, Fourier and Laplace Transforms Unlimited
  • Lecture 32 – Pole, Zero, and Stability of Analog Filters Unlimited
  • Lecture 33 – Analog Filter Design Example – Butterworth Low Pass Filter Unlimited
  • Lecture 34 – IIR Filter Design by Impulse Invariance Method Unlimited
  • Lecture 35 – Digital Filter Design from Analog Prototype Filters by s-z Transformations Unlimited
  • Lecture 36 – Bilinear Transformation Unlimited
  • Lecture 37 – FIR Filter Design by Windows Unlimited
  • Lecture 38 – Fast Fourier Transform (FFT): Decimation in Time Unlimited
  • Lecture 39 – Complexity Analysis of FFT Unlimited
  • Lecture 40 – Bit Reversal and FFT Unlimited

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